Time Series Forecasting using Python

IntermediateLevel
43262+Students Enrolled
30 MinsDuration
4.7Average Rating

About
Learning Outcomes
Who Should Enroll
Course Curriculum
Instructors

About this Course

This course is designed for people who want to solve problems related to Time Series Forecasting.
Learn to apply necessary skills and techniques required to solve Time Series problems, including ARIMA, Holt’s Winter, and more.
By the end of the course, you will learn to apply various time series forecasting methods in Python for real-life industry use cases.

Learning Outcomes

Time Series Analysis

Understand and apply time series analysis techniques.

Forecasting Models

Build and evaluate time series forecasting models in Python.

Python Implementation

Implement ARIMA, Holt’s Winter, and other methods.

Who Should Enroll

This course is designed for professionals, and analysts who want to gain experience in time series forecasting.
Data scientists and practioners wanting to learn time series analysis with real-world scenaios.
Anyone looking to build forecasting models and do in-depth analysis in Python for a use-case.

Course Curriculum

Learn to perform time series forecasting and analysis using Python and various time series methods with their different techniques.

1. Introduction to the Course
2. Introduction to Time Series
3. Components of a Time Series

Meet the instructor

Our instructor and mentors carry years of experience in data industry

Kunal Jain

CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

30 Mins
Duration
Kunal Jain
Instructor
Intermediate
Level

Certificate of completion

Earn a professional certificate upon course completion

Industry-Recognized Credential
Career Advancement Credential
Shareable Achievement

Frequently Asked Questions

Looking for answers to other questions?

This course is for individuals interested in time series forecasting, data scientists wanting to learn time series analysis, and anyone looking to build forecasting models in Python.

You will need Python and relevant libraries installed. Specific setup instructions will be provided in the course.

You can access the course content indefinitely after enrollment.

Yes, it is recommended to follow the modules in the given order for a better understanding.

Yes, you will receive a certificate upon successful completion of the course.

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